Age Effects on Spatiotemporal Patterns in Functional Brain Networks Over the Human Adult Lifespan | |
Z. Zhao; L. Teng; T. Li; Y. Wang; L. Zhang; X. Liu; R. Xie; J. Yang; Z. Yao | |
2023-07-07 | |
Online publication date | 2023-07 |
Source Publication | IEEE Transactions on Computational Social Systems Impact Factor & Quartile |
ISSN | 2329-924X |
Volume | PPIssue:99Pages:1-8 |
page numbers | 8 |
Abstract | Growing evidence has unveiled the dynamic nature of human brain networks. However, the dynamic and hierarchical organization that supports information transmission in brain networks remains unexplored across the adult lifespan. In this study, we developed an analytical framework to investigate the spatiotemporal reorganization of dynamic brain networks during adult development and aging. Specifically, using resting-state fMRI data from the Cam-CAN lifespan dataset, we examined the age effects on the topological stability of egocentric structures and the average length of temporal paths. As the egocentric structure reflects the relationships between a node’s neighbors, we further explored whether the stability of egocentric structures mediates age effects on information diffusion. The results showed that the topological stability of egocentric structures has an impact on information processing in the spatiotemporal domain. In particular, the age-related changes observed in some functional systems followed different progressive patterns from that of other systems, which might be explained by some compensation mechanisms. Taken together, the present work may provide an additional perspective for understanding the underlying neuro-mechanisms of healthy aging. |
Keyword | Dynamic functional connectivity (FC) healthy aging resting-state functional networks spatiotemporal dynamics temporal network-based analysis |
Publisher | IEEE |
DOI | 10.1109/TCSS.2023.3289995 |
Indexed By | IEEE ; SCIE |
Language | 英语 |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Cybernetics ; Computer Science, Information Systems |
WOS ID | WOS:001030662700001 |
Original Document Type | Article ; Early Access |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | https://ir.lzu.edu.cn/handle/262010/532387 |
Collection | 兰州大学 信息科学与工程学院 第二临床医学院 |
Affiliation | 1.School of Information Science and Engineering, Gansu Provincial Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, China 2.Department of Obstetrics and Gynecology, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China 3.School of Information Science and Engineering, Gansu Provincial Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, China 4.School of Information Science and Engineering, Gansu Provincial Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, China 5.School of Information Science and Engineering, Gansu Provincial Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, China 6.School of Computer Science, Qinghai Normal University, Xining, China 7.Department of Psychiatric, Tianshui Third People’s Hospital, Tianshui, China 8.Department of Developmental Behavior in Childhood, Lanzhou University Second Hospital, Lanzhou, China 9.School of Information Science and Engineering, Gansu Provincial Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, China |
Recommended Citation GB/T 7714 | Z. Zhao,L. Teng,T. Li,et al. Age Effects on Spatiotemporal Patterns in Functional Brain Networks Over the Human Adult Lifespan[J]. IEEE Transactions on Computational Social Systems,2023,PP(99):1-8. |
APA | Z. Zhao.,L. Teng.,T. Li.,Y. Wang.,L. Zhang.,...&Z. Yao.(2023).Age Effects on Spatiotemporal Patterns in Functional Brain Networks Over the Human Adult Lifespan.IEEE Transactions on Computational Social Systems,PP(99),1-8. |
MLA | Z. Zhao,et al."Age Effects on Spatiotemporal Patterns in Functional Brain Networks Over the Human Adult Lifespan".IEEE Transactions on Computational Social Systems PP.99(2023):1-8. |
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